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BiSI薄膜紫外光电探测器的研究

材料科学 2022年第1期12卷 40-47页

作者：杨博余新媛 k. p.homewood 雷丙龙高云湖北大学材料科学与工程学院湖北武汉

三元硫卤化物BiSI具有光电导率高、光吸收系数高(>105 cm−1)和带隙宽度(1.57 eV)合适等优点,在光电领域得到了广泛的应用。目前BiSI晶体和薄膜的常见制备方法中存在工序复杂、合成温度高、反应时间长和易引入BiOI杂相的缺点,在光电探测... 详细信息

三元硫卤化物BiSI具有光电导率高、光吸收系数高(>105 cm−1)和带隙宽度(1.57 eV)合适等优点,在光电领域得到了广泛的应用。目前BiSI晶体和薄膜的常见制备方法中存在工序复杂、合成温度高、反应时间长和易引入BiOI杂相的缺点,在光电探测器方面的应用鲜有报道。本工作提出一种温和简便的方法——先采用气相法沉积BiI3薄膜,再经H2S气氛处理获得BiSI纳米线薄膜。将该薄膜组装成器件应用于光电探测,发现器件在300~800 nm的波段内均具有响应,尤其在紫外光(370 nm)照射下,器件的响应度和探测率可达到最高,分别为6.30 A/W和7.78 ×1011 Jones。本工作不仅证明了该方法的可行性,也为BiSI薄膜在紫外光电探测器领域的应用提供了参考。

关键词： BiSI薄膜紫外光探测响应度探测率

Na掺杂CsCuCl₃单晶的制备及其光学性能研究

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材料科学 2021年第2期11卷 126-134页

作者：汪慧李荣夏悦戢威雷丙龙 k. p.homewood 高云湖北大学材料与工程学院湖北武汉

CsCuCl3钙钛矿以其环境友好、稳定性高等特点备受科研工作者的关注,但由于其强激子–声子耦合诱导的本征自陷和表面缺陷主要控制电荷载流子的陷获过程,大大降低了它的光致发光量子效率,以致无法检测到光致发光信号,限制了对其光学性能... 详细信息

CsCuCl3钙钛矿以其环境友好、稳定性高等特点备受科研工作者的关注,但由于其强激子–声子耦合诱导的本征自陷和表面缺陷主要控制电荷载流子的陷获过程,大大降低了它的光致发光量子效率,以致无法检测到光致发光信号,限制了对其光学性能的研究。为解决这个问题,本文在制备样品的过程中,引入Na元素来钝化内部和表面缺陷,采用降温结晶法成功制备了Na掺杂的CsCuCl3单晶,并对晶体结构、发光及光热性能和环境稳定性进行表征,这为设计具有良好光学性能的无铅钙钛矿光电器件提供了参考。

关键词：单晶铜基钙钛矿钠掺杂光致发光

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热处理对铋基钙钛矿太阳能电池性能的影响

材料科学 2021年第7期11卷 801-809页

作者：王星辰杨博孙振兴 k. p.homewood 雷丙龙高云湖北大学材料科学与工程学院湖北武汉

铅基钙钛矿太阳能电池自发现以来,光电转换效率急速上升,由3.8%迅速提高到25.2%。然而,铅基钙钛矿太阳能电池的毒性和不稳定性严重制约该类电池的商业化的发展。Cs2AgBiBr6双钙钛矿类电池具有良好的高温稳定性,因此获得了科学家们的广... 详细信息

铅基钙钛矿太阳能电池自发现以来,光电转换效率急速上升,由3.8%迅速提高到25.2%。然而,铅基钙钛矿太阳能电池的毒性和不稳定性严重制约该类电池的商业化的发展。Cs2AgBiBr6双钙钛矿类电池具有良好的高温稳定性,因此获得了科学家们的广泛关注。本研究采用溶剂热法合成Cs2AgBiBr6粉末,再经由真空蒸镀,制备了高度致密性的薄膜;薄膜经过310℃退火处理后,可增进薄膜结晶质量,有利于电池性能的提升。因而,电池器件具有较小的串联电池Rs和较大的分流电阻Rsh,电池内部能量消耗降低,最佳器件的pCE为0.393%,对应的Jsc为0.84 mA/cm2,Voc为0.79 V,FF为59.3%,Rs为0.09 Ω/cm2,Rsh为3.61 Ω/cm2。

关键词：非铅铋基钙钛矿太阳能电池热处理分流电阻

溴掺杂对非铅铋基钙钛矿太阳能电池性能的增强作用

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材料科学 2020年第9期10卷 697-704页

作者：孙振兴王星辰汪慧 k. p.homewood 高云雷丙龙湖北大学材料与工程学院湖北武汉

铋基钙钛矿材料以其无毒和稳定等优势备受广大科研工作者的关注。但Bi基钙钛矿c-轴优先生长特性很难获得平整致密的薄膜,不利于高效太阳能电池的制备。采用其他卤素原子部分替代I原子,抑制晶粒的定向生长,成为一个获得高质量薄膜的有效... 详细信息

铋基钙钛矿材料以其无毒和稳定等优势备受广大科研工作者的关注。但Bi基钙钛矿c-轴优先生长特性很难获得平整致密的薄膜,不利于高效太阳能电池的制备。采用其他卤素原子部分替代I原子,抑制晶粒的定向生长,成为一个获得高质量薄膜的有效途径。本实验在前期研究的基础上,采用Br掺杂的方式,制备了晶粒尺寸更大、表面更致密的薄膜。测试结果表明,当掺杂少量Br元素时,钙钛矿光活性层的表面更加均匀,大幅度提高了钙钛矿层的致密性。适量的Br掺杂还可以减少薄膜内部缺陷,有效地抑制器件的非辐射复合,增强光吸收性,增加了载流子寿命,同时,掺杂的器件的光电效率得到大幅提升。本工作为铋基钙钛矿太阳能电池的进一步研究提供了参考。

关键词：铋基钙钛矿溴掺杂薄膜太阳能电池

两步蒸镀法制备高质量(CH3NH3)3Bi2I9钙钛矿薄膜

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材料科学 2019年第2期9卷 115-126页

作者：李晓伟刘艳领 k. p.homewood 黄忠兵高云雷丙龙湖北大学物理与电子科学学院湖北武汉湖北大学材料科学与工程学院湖北武汉

(CH3NH3)3Bi2I9 (MBI)钙钛矿属于六方晶系,在薄膜制备时,晶体颗粒具有c轴优先生长的特性,因而很难获得平整均一的高质量薄膜。在前期研究的基础上,我们通过两步蒸镀法得到了致密无针孔的薄膜。该薄膜的可重复性不够理想,有时仍有一定量... 详细信息

(CH3NH3)3Bi2I9 (MBI)钙钛矿属于六方晶系,在薄膜制备时,晶体颗粒具有c轴优先生长的特性,因而很难获得平整均一的高质量薄膜。在前期研究的基础上,我们通过两步蒸镀法得到了致密无针孔的薄膜。该薄膜的可重复性不够理想,有时仍有一定量的六方片状晶粒出现,显著降低了薄膜的质量。在此基础上,我们通过引入氯元素,从根本上抑制了MBI薄膜的c轴优先生长,制备出具有良好重复性、光滑平整且晶粒尺寸较大的高质量MBI薄膜。

关键词：薄膜铋基钙钛矿蒸镀氯掺杂

Rational Design and Construction of a CdS QDs/InVO4 Atomic-Layer（110）/（110） Facet S-Scheme Heterojunction for Highly Efficient photocatalytic Degradation of C2H4

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Energy & Environmental Materials 2024年第3期7卷 215-222页

作者： Yuanpeng Dong peizhu Ji Xinyue Xu Rong Li Yin Wang k.vin peter homewood Xiaohong Xia Yun Gao Xuxing Chen Ministry of Education k.y Laboratory for the Green preparation and Application of Functional Materials School of Materials Science&Engineering Hubei University Hubei k.y Laboratory of Low Dimensional Optoelectronic Materials and Devices Hubei University of Arts and Science State k.y Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences United Water (Xianning) Company Limited

Exploring high efficiency S-scheme heterojunction photocatalysts with strong redox ability for removing volatile organic compounds from the air is of great interest and ***,how to predict and regulate the transport of photogenerated carriers in heterojunctions is a great ***,density functional theory calculations were first used to successfully predict the formation of a CdS quantum dots/InVO4atomic-layer （110）/（110） facet S-scheme ***,a CdS quantum dots/InVO4atomic-layer was synthesized by in-situ loading of CdS quantum dots with （110） facets onto the（110） facets of *** a result of the deliberately constructed built-in electric field between the adjoining facets,we obtain a remark.bly enhanced photocatalytic degradation rate for *** rate is 13.8 times that of pure CdS and 13.2 times that of pure ***-situ irradiated X-ray photoelectron spectroscopy,photoluminescence and time-resolved photoluminescence measurements were carried *** experiments validate that the built-in electric field enhanced the dissociation of photoexcited excitons and the separation of free charge carriers,and results in the formation of S-scheme charge transfer *** reaction mechanism of the photocatalytic C2H4oxidation is investigated by in-situ electron paramagnetic *** work.provides a mechanistic insight into the construction and optimization of semiconductor heterojunction photocatalysts for application to environmental remediation.

关键词： CdS QDs InVO4 atomic-layer photocatalysis S-scheme volatile organic compounds

Rational Design and Construction of a CdS QDs/lnVO_(4) Atomic-Layer(110)/(110)Facet S-Scheme Heterojunction for Highly Efficient photocatalytic Degradation of C_(2)H_(4)

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Energy & Environmental Materials 2024年第3期7卷 211-218页

作者： Yuanpeng Dong peizhu Ji Xinyue Xu Rong Li Yin Wang k.vin peter homewood Xiaohong Xia Yun Gao Xuxing Chen Ministry of Education k.y Laboratory for the Green preparation and Application of Functional Materials School of Materials Science&EngineeringHubei UniversityWuhan 430062China Hubei k.y Laboratory of Low Dimensional Optoelectronic Materials and Devices Hubei University of Arts and ScienceXiangyang 441053China State k.y Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China United Water(Xianning)Company Limited Xianning 437100China

Exploring high efficiency S-scheme heterojunction photocatalysts with strong redox ability for removing volatile organic compounds from the air is of great interest and ***,how to predict and regulate the transport of photogenerated carriers in heterojunctions is a great ***,density functional theory calculations were first used to successfully predict the formation of a CdS quantum dots/InVO_(4)atomic-layer(110)/(110)facet S-scheme ***,a CdS quantum dots/InVO_(4)atomic-layer was synthesized by in-situ loading of CdS quantum dots with(110)facets onto the(110)facets of InVO_(4)*** a result of the deliberately constructed built-in electric field between the adjoining facets,we obtain a remark.bly enhanced photocatalytic degradation rate for *** rate is 13.8 times that of pure CdS and 13.2 times that of pure InVO_(4).In-situ irradiated X-ray photoelectron spectroscopy,photoluminescence and time-resolved photoluminescence measurements were carried *** experiments validate that the built-in electric field enhanced the dissociation of photoexcited excitons and the separation of free charge carriers,and results in the formation of S-scheme charge transfer *** reaction mechanism of the photocatalytic C_(2)H_(4)oxidation is investigated by in-situ electron paramagnetic *** work.provides a mechanistic insight into the construction and optimization of semiconductor heterojunction photocatalysts for application to environmental remediation.

关键词： CdS QDs InVO_(4)atomic-layer photocatalysis S-scheme volatile organic compounds

Compression of Battery X-Ray Tomography Data with Machine Learning

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Chinese physics Letters 2024年第9期41卷 153-158页

作者： Zipei Yan Qiyu Wang Xiqian Yu Jizhou Li Michael k.-p.Ng Department of Electronic Engineering The Chinese University of Hong KongHong KongChina Beijing National Laboratory for Condensed Matter physics and Institute of PhysicsChinese Academy of SciencesBeijing 100190China Huairou Division Institute of PhysicsChinese Academy of SciencesBeijing 101400China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China CUHk.Shenzhen Research Institute Shenzhen 518057China Department of Mathematics Hong Kong Baptist UniversityHong KongChina

With the increasing demand for high-resolution x-ray tomography in battery characterization,the challenges of storing,transmitting,and analyzing substantial imaging data necessitate more efficient *** data compression methods struggle to balance reduction ratio and image quality,often failing to preserve critical details for accurate *** study proposes a machine learning-assisted compression method tailored for battery x-ray imaging *** physics-informed representation learning,our approach significantly reduces file sizes without sacrificing meaningful *** validate the method on typical battery materials and different x-ray imaging techniques,demonstrating its effectiveness in preserving structural and chemical *** results show an up-to-95 compression ratio while maintaining high fidelity in the projection and reconstructed *** proposed framework.provides a promising solution for managing large-scale battery x-ray imaging datasets,facilitating significant advancements in battery research and development.

关键词： battery Battery details

A Hybrid Machine Learning Approach for Improvised QoE in Video Services over 5G Wireless Network.

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Computers, Materials & Continua 2024年第3期78卷 3195-3213页

作者： k.B.Ajeyprasaath p.Vetrivelan School of Electronics Engineering Vellore Institute of TechnologyChennaiTamil Nadu600127India

Video streaming applications have grown considerably in recent *** a result,this becomes one of the most significant contributors to global internet *** to recent studies,the telecommunications industry loses millions of dollars due to poor video Quality of Experience(QoE)for *** the standard proposals for standardizing the quality of video streaming over internet service providers(ISps)is the Mean Opinion Score(MOS).However,the accurate finding of QoE by MOS is subjective and laborious,and it varies depending on the user.A fully automated data analytics framework.is required to reduce the inter-operator variability characteristic in QoE *** work.addresses this concern by suggesting a novel hybrid XGBStack.oE analytical model using a two-level layering *** one combines multiple Machine Learning(ML)models via a layer one Hybrid *** ML models at level one are trained using the entire training data *** level two Hybrid XGBStack.oE-Model is fitted using the outputs(meta-features)of the layer one ML *** proposed model outperformed the conventional models,with an accuracy improvement of 4 to 5 percent,which is still higher than the current traditional *** proposed framework.could significantly improve video QoE accuracy.

关键词： Hybrid XGBStack.oE-model machine learning MOS performance metrics QoE 5G video services